TY - JOUR AB - AbstractIncreasing system complexity can be controlled by using systems engineering processes. INCOSE defines processes with inputs and outputs (artifacts) for this purpose. Specific SE roles are used to organize the tasks of the processes within the company. In this work, the responsibilities for artifacts are evaluated by means of the RACI scheme and examined by a cluster analysis and discussed for a SE transformation project with a German automotive OEM. As a result of the study, the optimal composition for systems engineering teams is identified and the systems engineering roles are prioritized. AU - Gräßler, Iris AU - Thiele, Henrik AU - Grewe, Benedikt AU - Hieb, Michael ID - 32174 JF - Proceedings of the Design Society KW - systems engineering (SE) KW - project management KW - model-based systems engineering (MBSE) SN - 2732-527X TI - Responsibility Assignment in Systems Engineering VL - 2 ER - TY - CONF AB - Challenges in decisions on technical changes are the lack of knowledge about the expected impact and change propagation. Currently, no literature study contains a systematic differentiation and evaluation of existing approaches, which is a prerequisite for practitioners to select a suitable approach. This research aims at defining differentiation criteria as well as generally applicable requirements for evaluation. A four-step approach is used: systematic literature review on approaches for impact analysis of engineering changes (1), categorization and prioritization of approaches based on reoccuring elements (2), derivation of context specific requirements for evaluation (3), and evaluation of approaches (4). The result indicates existing potential of object-oriented modeling approaches. AU - Gräßler, Iris AU - Wiechel, Dominik ED - Krause, Dieter ED - Paetzold, Kristin ED - Wartzack, Sandro ID - 24280 KW - Engineering Change Management KW - Impact Analysis KW - Engineering Changes KW - Model-based Systems Engineering KW - Product Developmen T2 - DS 111: Proceedings of the 32nd Symposium Design for X TI - Systematische Bewertung von Auswirkungsanalysen des Engineering Change Managements ER -